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On the use of SEREP for satellite FEM validation

机译:关于使用SEREP进行卫星FEM验证

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Purpose - The purpose of this paper is to assess the suitability of various methods for the reduction of a large finite element model (FEM) of satellites to produce models to be used for correlation of the FEM with test results. The robustness of the cross-orthogonality checks (COC) for the correlation process carried out utilizing the reduced model is investigated, showing its dependence on the number of mode shapes used in the reduction process. Finally the paper investigates the improvement in the robustness of the COC that can be achieved utilizing optimality criteria for the selection of the degrees of freedom (DOF) used for the correlation process. Design/methodology/approach - A Monte Carlo approach has been used to simulate inaccuracies in the mode shapes (analysis and experimental) of a satellite FEM that are compared during the COC. The sensitivity of the COC to the parameters utilized during the reduction process, i.e. mode shapes and DOFs, is then assessed for different levels of inaccuracy in the mode shapes. Findings - The System Equivalent Expansion Reduction Process (SEREP) has been identified as a particularly suitable method, with the advantage that a SEREP reduced model has the same eigenvalues and eigenvector of the whole system therefore automatically meeting the criteria on the quality of the reduced model. The inclusion of a high number of mode shapes in the reduction process makes the check very sensitive to minor experimental or modelling inaccuracies. Finally it was shown that utilizing optimality criteria in the selection of the DOFs to carry out the correlation can significantly improve the probability of meeting the COC criteria. Research limitations/implications - This work is based on the FEM of the satellite Aeolus, and therefore the numerical values obtained in this study are specific for this application. However, this model represents a typical satellite FEM and therefore the trends identified in this work are expected to be generally valid for this type of structure. Practical implications - The correlation of satellite FEM with test results involves a substantial effort, and it is crucial to avoid failures of the COC due to numerical issues rather than real model inaccuracies. This work shows also how an inappropriate choice of reduction parameters can lead to failure of the COC in cases when there are only very minor differences (e.g. due to minor amount of noise in the results) between analytical and test results. Vice versa, the work also shows how the robustness of the reduced model can be improved. Originality/value - The paper shows how the robustness of the correlation process for a satellite FEM carried out utilising a SEREP reduced model needed to be investigated, to demonstrate the suitability of this method to reduce large FEM of satellites.
机译:目的-本文的目的是评估减少大型卫星有限元模型(FEM)的各种方法的适用性,以产生用于将FEM与测试结果相关的模型。研究了使用简化模型进行的关联过程的正交检验(COC)的鲁棒性,显示了其对简化过程中使用的模态形状数量的依赖性。最后,本文研究了可利用最优标准选择用于相关过程的自由度(DOF)来实现的COC鲁棒性的提高。设计/方法/方法-蒙特卡洛方法已用于模拟在COC期间进行比较的卫星FEM的模式形状(分析和实验)中的不准确性。然后评估COC对在还原过程中使用的参数(即模式形状和自由度)的敏感性,以了解模式形状中不同程度的不准确性。发现-系统等效扩展缩减过程(SEREP)已被确定为特别合适的方法,其优点是SEREP简化模型具有与整个系统相同的特征值和特征向量,因此可以自动满足简化模型质量的标准。归约过程中包含大量模式形状,使检查对较小的实验或建模错误非常敏感。最后表明,在DOF的选择中利用最优性标准进行关联可以显着提高满足COC标准的可能性。研究的局限性/意义-这项工作基于卫星风神的有限元分析,因此,本研究中获得的数值特定于此应用。但是,该模型代表了典型的卫星有限元模型,因此,预期该工作中确定的趋势对于这种类型的结构通常是有效的。实际意义-卫星FEM与测试结果之间的关联涉及大量工作,因此避免因数值问题而不是实际模型误差导致的COC失效至关重要。这项工作还表明,如果分析结果与测试结果之间只有很小的差异(例如,由于结果中的噪声量很小),减少参数的不适当选择将如何导致COC失效。反之亦然,这项工作还显示了简化模型的鲁棒性如何得以改善。原创性/价值-本文说明了如何研究使用SEREP缩减模型进行的卫星FEM相关过程的鲁棒性,以证明该方法适用于减少大型卫星FEM。

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